Yasir Muhammad, Kanwal Hafiza Hamrah, Hussain Quaid, Riaz Muhammad Waheed, Sajjad Muhammad, Rong Junkang, Jiang Yurong
The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou, China.
School of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing, China.
Front Plant Sci. 2022 Oct 18;13:1019347. doi: 10.3389/fpls.2022.1019347. eCollection 2022.
Over the last two decades, the use of high-density SNP arrays and DNA sequencing have allowed scientists to uncover the majority of the genotypic space for various crops, including cotton. Genome-wide association study (GWAS) links the dots between a phenotype and its underlying genetics across the genomes of populations. It was first developed and applied in the field of human disease genetics. Many areas of crop research have incorporated GWAS in plants and considerable literature has been published in the recent decade. Here we will provide a comprehensive review of GWAS studies in cotton crop, which includes case studies on biotic resistance, abiotic tolerance, fiber yield and quality traits, current status, prospects, bottlenecks of GWAS and finally, thought-provoking question. This review will serve as a catalog of GWAS in cotton and suggest new frontiers of the cotton crop to be studied with this important tool.
在过去二十年中，高密度单核苷酸多态性（SNP）阵列和DNA测序技术的应用使科学家们能够揭示包括棉花在内的各种作物的大部分基因型空间。全基因组关联研究（GWAS）将表型与其在群体基因组中的潜在遗传学联系起来。它最初是在人类疾病遗传学领域开发和应用的。作物研究的许多领域都将GWAS应用于植物，并且在最近十年发表了大量文献。在这里，我们将对棉花作物的GWAS研究进行全面综述，包括生物抗性、非生物耐受性、纤维产量和品质性状的案例研究、GWAS的现状、前景、瓶颈，最后提出引人深思的问题。这篇综述将作为棉花GWAS的目录，并为利用这一重要工具研究棉花作物的新领域提供建议。
